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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Medika Cendikia (e-Journal) Jurnal Informasi dan Teknologi Pharma Xplore : Jurnal Sains dan Ilmu Farmasi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Sains dan Teknologi Laboratorium Medik International Journal of Engineering, Science and Information Technology Jurnal Kolaboratif Sains Journal Of Human And Education (JAHE) Jurnal Pengabdian Masyarakat DEDIKASI Innovative: Journal Of Social Science Research Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Jurnal Medika Farmaka Journal of Pharmacopoeia Research of Scientia Naturalis Journal of Pharmacopoeia Jurnal Sipakatau Journal of Community Dedication Journal of World Future Medicine, Health and Nursing
Dadang Muhammad Hasyim
STIKes Karsa Husada Garut
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Application of Artificial Intelligence in Medical Diagnostics: Applications and Implications in the Healthcare Sector Arnes Yuli Vandika; Dadang Muhammad Hasyim; Devi Rahmah Sope; Legito; Novycha Auliafendri
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.674

Abstract

Artificial Intelligence (AI) has emerged as a transformative innovation in the medical diagnostic sector. This study explores the application and implications of AI in healthcare services at RSUD Dr. H. Abdul Moeloek, Bandar Lampung. Using a qualitative case study method, data were obtained through in-depth interviews and participatory observation. The results show that AI contributes significantly to improving diagnostic accuracy and speed, particularly in radiological imaging. However, limitations in technological infrastructure and system integration were found to hinder its optimal use. Furthermore, the readiness of human resources remains a critical factor. Although there is optimism among medical staff, a lack of technical training has led to gaps in understanding and utilization. Ethical and legal concerns also emerged, especially regarding responsibility in case of misdiagnosis and the protection of patient data. The absence of specific regulations and digital ethics protocols presents a major barrier to AI adoption. This research concludes that while the implementation of AI in medical diagnostics shows promising outcomes, it still faces institutional and regulatory challenges. Strengthening digital literacy among healthcare workers, developing standard operating procedures, and building a secure infrastructure are essential. Collaboration between hospitals, academic institutions, and government bodies is needed to create an inclusive and ethical AI-based healthcare ecosystem.
Inorganic Nanoparticles for Drug Delivery Systems: Design and Challenges Dadang Muhammad Hasyim; Miku Fujita; Arnes Yuli Vandika
Research of Scientia Naturalis Vol. 1 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i4.1578

Abstract

Inorganic nanoparticles have gained attention in drug delivery systems due to their unique properties, including high surface area, biocompatibility, and the ability to encapsulate therapeutic agents. These characteristics make them promising candidates for enhancing drug efficacy and targeting. This research aims to explore the design parameters and challenges associated with inorganic nanoparticles in drug delivery applications. The focus is on understanding how modifications in nanoparticle design can optimize performance and address existing limitations. A comprehensive literature review was conducted alongside experimental assessments of various inorganic nanoparticle formulations. Key parameters such as size, surface charge, and drug loading capacity were evaluated to assess their impact on drug delivery efficiency. In vitro studies were performed to analyze drug release profiles and cellular uptake.The findings indicate that specific design modifications significantly influence drug delivery performance. For example, smaller nanoparticles with positive surface charges exhibited enhanced cellular uptake and higher drug loading capacities. However, challenges such as stability, scalability, and regulatory hurdles remain prevalent in the field. Inorganic nanoparticles hold great potential for advancing drug delivery systems, but addressing associated design challenges is crucial. Continued research in this area will facilitate the development of more effective and safer drug delivery solutions, ultimately improving therapeutic outcomes for patients.  
The Role of Applied Statistics in Drug Development and Clinical Trials Sitti Rahmah; Aldi Bastiatul Fawait; Dadang Muhammad Hasyim
Research of Scientia Naturalis Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i6.1584

Abstract

Background: The integration of applied statistics in drug development and clinical trials is essential for ensuring the efficacy and safety of new pharmaceuticals. Statistical methods play a critical role in designing studies, analyzing data, and interpreting results, thereby influencing regulatory decisions and clinical practices. Objective: This study aims to examine the role of applied statistics in the drug development process, particularly within clinical trials. The focus is on identifying key statistical techniques and their impact on trial outcomes and decision-making. Methodology: A comprehensive review of literature was conducted, analyzing various statistical methods employed in clinical trials, including sample size determination, randomization techniques, and data analysis methods. Case studies were included to illustrate the application of these methods in real-world scenarios. Results: Findings indicate that robust statistical methodologies significantly improve the reliability of clinical trial results. Proper sample size calculations ensure adequate power to detect treatment effects, while randomization techniques minimize bias. Additionally, advanced data analysis methods enhance the interpretation of trial outcomes, leading to more informed regulatory approvals. Conclusion: This research highlights the indispensable role of applied statistics in drug development and clinical trials. Emphasizing the importance of sound statistical practices not only improves trial integrity but also contributes to the overall success of new drug therapies. Continued advancements in statistical methods will further enhance the efficiency and effectiveness of clinical research.
Implementation of Telemedicine in Health Services: Challenges and Opportunities Loso Judijanto; Dito Anurogo; Benny Novico Zani; Dadang Muhammad Hasyim; Kori Puspita Ningsih
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.667

Abstract

Telemedicine telah menjadi alternatif penting dalam memberikan pelayanan kesehatan, terutama selama pandemi COVID-19. Telemedicine adalah praktik pemberian layanan kesehatan jarak jauh menggunakan teknologi komunikasi seperti telepon, video conference, atau platform online. Namun, masih terdapat tantangan dalam mengimplementasikan teknologi ini secara efektif. Penelitian ini bertujuan untuk mengidentifikasi tantangan utama yang dihadapi dalam mengimplementasikan telemedicine, serta untuk mengevaluasi peluang dan manfaat yang mungkin terwujud dalam memanfaatkan teknologi ini dalam pelayanan kesehatan. Metode penelitian ini menggunakan pendekatan kualitatif. Data juga dikumpulkan melalui studi pustaka untuk memperoleh pemahaman yang komprehensif tentang implementasi telemedicine. Hasil penelitian menunjukkan bahwa tantangan utama dalam implementasi telemedicine meliputi masalah keamanan data, keterbatasan akses teknologi, perubahan dalam praktik klinis, dan regulasi. Namun, terdapat peluang besar dalam meningkatkan akses pelayanan kesehatan, meningkatkan efisiensi, dan memperluas jangkauan pelayanan. Implementasi telemedicine menawarkan potensi besar dalam meningkatkan pelayanan kesehatan, namun tantangan yang ada perlu diatasi dengan strategi yang tepat. Regulasi yang jelas, infrastruktur teknologi yang memadai, serta keterlibatan stakeholder kunci akan menjadi kunci dalam mengoptimalkan manfaat telemedicine dalam pelayanan kesehatan. Dengan telemedicine, diagnosis, konsultasi medis, pengobatan, serta monitoring kondisi medis dapat dilakukan secara efisien dan cepat tanpa memerlukan pertemuan langsung. Teknologi ini sangat membantu dalam mengatasi kendala geografis atau waktu serta meningkatkan aksesibilitas layanan kesehatan bagi individu yang sulit untuk mengunjungi praktisi medis secara langsung.
The Importance of Early Detection in Disease Management Rina Setyawati; Aldiana Astuti; Tyas Putri Utami; Saputra Adiwijaya; Dadang Muhammad Hasyim
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.692

Abstract

Early detection in disease management is a key factor in improving the effectiveness of treatment and reducing the negative impact of disease on individuals and society. The importance of early detection is a topic that is receiving increasing attention in healthcare, given the importance of identifying diseases as quickly as possible to provide appropriate treatment. This study aims to explore the importance of early detection in disease management, and to understand the positive impact of early detection on treatment outcomes and public health in general. This research utilizes the literature analysis method, by reviewing various articles, scientific journals, and reference books related to the importance of early detection in disease management. The results of the study based on the literature analysis show that early detection has a very important role in reducing mortality from disease, reducing health care costs, and improving the quality of life of patients. Early detection can also help prevent the spread of infectious diseases in the community. The conclusion of this study is that early detection in disease management has a very important role in reducing the burden of disease on individuals and society as a whole. Raising awareness of the importance of early detection, developing innovative detection technologies, and improving access to health services are some of the key steps that need to be taken to improve early detection and support effective disease management efforts.
Application of the Internet of Things (IoT) in Health: the Future of Personal Care Chevi Herli Sumerli A; Noor Diah Erlinawati; Dito Anurogo; Dadang Muhammad Hasyim; Abdullah Ardi
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.705

Abstract

The application of the Internet of Things (IoT) in healthcare has revolutionized healthcare in an unprecedented way. IoT allows devices to interconnect, collect data, and exchange information in real-time, which can improve health monitoring, diagnosis, and disease management in a more effective way. This research aims to investigate the potential application of the Internet of Things (IoT) in improving personalized healthcare. The focus is on the ability of IoT to monitor health conditions in real-time, improve early diagnosis, provide customized care, and increase the overall efficiency of the health system. This research uses a qualitative and quantitative approach by conducting a literature review on the application of IoT in healthcare, as well as analyzing data from case studies of IoT technology implementation in personal healthcare. The results of this study reveal the great potential of IoT applications in improving personal healthcare, including remote monitoring of patient conditions, data-driven disease prediction, individualized treatment customization, and cost efficiency in the healthcare system. The implementation of IoT technology also brings challenges such as data privacy, system security, and cross-platform integration that need to be overcome to maximize its benefits. The conclusion of this study is that the application of the Internet of Things (IoT) in healthcare promises a more effective and efficient future of personalized healthcare. However, technical, ethical, and security challenges need to be overcome for these applications to be successful. With an increased understanding of the benefits and risks of IoT adoption in healthcare, appropriate steps can be taken to ensure better personalized healthcare in the future.
Latest Innovations in the Treatment of Degenerative Diseases Lisma Natalia Br Sembiring; Aldiana Astuti; Muhammad Nazaruddin; Muntasir Muntasir; Dadang Muhammad Hasyim
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.718

Abstract

Recent innovations in the treatment of degenerative diseases have become a major focus of efforts to improve the quality of life of patients. With the development of technology and scientific research, there are opportunities to develop more effective and innovative treatment methods. In this study, we aim to explore recent innovations in the treatment of degenerative diseases, the purpose of which is to showcase the latest developments in the field of medicine that can provide new solutions in the management of degenerative diseases. The research method involved a literature review of recent studies in the treatment of degenerative diseases, as well as an analysis of relevant research data. The results showed some promising recent innovations, such as gene therapy, the use of stem cell technology, nanotechnology in drug delivery, and electromagnetic field approaches in medicine. These innovations offer the potential to improve treatment effectiveness and reduce the negative impact of these degenerative diseases. From the results of this study, it can be concluded that recent innovations in the treatment of degenerative diseases offer new hope in the management of these diseases. Technological developments and scientific research provide opportunities for the development of more effective and innovative treatment methods. However, despite significant progress in this field, further research is needed to evaluate the effectiveness, safety and sustainability of these innovations. This conclusion underscores the importance of collaboration between scientists, clinicians and the pharmaceutical industry to continue to drive innovation in an effort to holistically address degenerative diseases.
E-Health and Digital Transformation in Increasing Accessibility of Health Services loso judijanto; Hendra Nusa Putra; Benny Novico Zani; Dadang Muhammad Hasyim; Muntasir Muntasir
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 1 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i1.720

Abstract

In many countries, accessibility of healthcare remains a major challenge, especially in remote rural and urban areas. This research is relevant because of the push towards the application of technology in the healthcare sector to improve healthcare accessibility worldwide. The objectives of this study are to evaluate the role of e-Health in improving healthcare accessibility, explore the impact of digital transformation in improving the quality and coverage of healthcare services, and to draw conclusions about the implications of e-Health implementation and digital transformation in the context of improving healthcare accessibility. This research method uses a literature analysis approach to collect and analyze data from various sources of information related to e-Health and digital transformation in health services. The results of this study show that the implementation of e-Health and digital transformation has brought significant impact in improving the accessibility of health services, especially through the utilization of telemedicine, electronic medical records, and health applications. This has enabled easier access for individuals to obtain medical consultations and health information, especially for those living in remote areas. The conclusion of this study shows that e-Health and digital transformation have great potential in improving healthcare accessibility. By continuing to develop and integrate technology in the health sector, we can achieve the greater goal of providing more equitable and affordable healthcare to the global community. These steps can help reduce disparities in access to healthcare and improve people's overall quality of life.
Kesehatan Lingkungan dan Implementasi Kebijakan Pengurangan Emisi Gas Rumah Kaca di Sektor Industri: Environmental Health and Greenhouse Gas Emission Reduction Policy Implementation in the Industrial Sector Dadang Muhammad Hasyim; Nuralfin Anripa; Susatyo Adhi Pramono; La Ode Maksar Muhuruna; Yogi Rahman Nugraha
Jurnal Kolaboratif Sains (Special Issue) - Jurnal Kolaboratif Sains (JKS) - Juli 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i7.8186

Abstract

Penelitian ini bertujuan untuk menganalisis implementasi kebijakan pengurangan emisi gas rumah kaca (GRK) di sektor industri dan dampaknya terhadap kesehatan lingkungan di Indonesia. Dengan menggunakan pendekatan kualitatif melalui studi literatur, penelitian ini mengevaluasi kebijakan nasional dan kondisi aktual penerapannya berdasarkan sumber-sumber ilmiah terkini. Hasil kajian menunjukkan bahwa pelaksanaan kebijakan masih menghadapi hambatan signifikan, antara lain keterbatasan teknologi, lemahnya pengawasan, dan minimnya dukungan terhadap industri kecil dan menengah. Selain itu, dampak emisi industri terhadap kesehatan masyarakat terbukti nyata, terutama melalui peningkatan penyakit pernapasan dan kontaminasi lingkungan sekitar kawasan industri. Evaluasi kebijakan yang hanya berfokus pada volume emisi tidak cukup menjawab permasalahan struktural dan sosial yang ada. Oleh karena itu, penting untuk mengintegrasikan indikator kesehatan lingkungan ke dalam sistem evaluasi kebijakan, agar pendekatan yang dihasilkan lebih holistik dan berkeadilan. Penelitian ini merekomendasikan penguatan kolaborasi antar lembaga, pelibatan masyarakat dalam pengawasan lingkungan, serta pengembangan sistem pemantauan terpadu berbasis data kesehatan dan emisi. Dengan demikian, kebijakan pengurangan emisi GRK tidak hanya berkontribusi pada mitigasi perubahan iklim, tetapi juga pada peningkatan kualitas hidup masyarakat yang terdampak langsung.
Potential of Medicinal Plants in Indonesian Forest Biodiversity Conservation in Synergy with Pharmaceutical Technology for Modern Medicine Dadang Muhammad Hasyim; Dito Anurogo; Yessikah Feiby Bansaleng; Siti Fatmah Hiola; Nuralfin Anripa
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.899

Abstract

This study aims to identify challenges and opportunities for medicinal plant conservation in Indonesian forests, focusing on local communities' role, technology use, and government policies. Indonesia's forests, rich in medicinal plants, face grave threats from deforestation and land conversion for agriculture. Climate change is also exacerbating the sustainability of medicinal plants by changing their growth patterns. Local communities living around forest areas have traditional knowledge that is critical to the conservation of medicinal plants. If properly utilized, this knowledge can help maintain the sustainability of medicinal plant species and minimize the negative impacts of land conversion. In addition, information technology and biotechnology offer solutions for monitoring and preserving medicinal plants. Mapping and active compound extraction technologies can improve conservation quality and facilitate the development of medicinal plant-based products for modern medicine. However, a significant challenge faced is the lack of policies that support medicinal plant conservation and the lack of clarity in regulations governing the utilization of these plants. Community empowerment through conservation education and training is key to the long-term success of medicinal plant conservation. By integrating the community's traditional knowledge, supportive policies, and modern technology, medicinal plant conservation can be carried out sustainably. This research emphasizes the importance of collaboration between the government, local communities, and the private sector in achieving conservation goals that are more effective and beneficial for all parties.
Co-Authors Abdul Rosid Abdul Rosid Abdullah Ardi Abiyasa Eka Saputra Ahmad Izuddin Akbar Nurjamil, Akbar Nurjamil Aldi Bastiatul Fawait Fawait Aldiana Astuti Andy Rachman Ardi, Abdullah Arief Budi Pratomo Arief Budi Pratomo Arnes Yuli Vandika Asmaret, Desi Astuti, Aldiana Azhariah Rachman Baiq Ayu Aprilia Mustariani Benny Novico Zani Brevmana Anugrah Primulyanto Cecep Hilman Chevi Herli Sumerli A Dani Sujana Dede Suharta Desty Endrawati Subroto Desty Endrawati Subroto Devi Rahmah Sope Dhaniswara, Erwin Diah Wardani Dina Nirwana Suwinda, Dina Nirwana Suwinda Dito Anurogo Dito Anurogo Dito Anurogo, Dito Eka Selvi Handayani Eka Selvi Handayani Eka Selvi Handayani, Eka Selvi Elang Mohamad Atoilah Elvina Triana Putri Elvina Triana Putri Eny Retna Ambarwati Erlinawati, Noor Diah Euis Kusumarini Euis Kusumarini Firman Muharam Fitriah Handayani G. Gunawan Gina Nafsa Mutmainna, Gina Nafsa Mutmainna Habibi Habibi Habibi Hafid, Hendra Hamzah Puadi Ilyas, Hamzah Puadi Hendra Nusa Putra Hendra Nusa Putra Hesti Renggana Irma Muti Irmanida Batubara Iwan Aprianto Izuddin, Ahmad Judijanto, Loso Kusumarini, Euis La Ode Maksar Muhuruna Legito Liza Rastiti Loso Judijanto Marsha Yulianti, Marsha Yulianti Melinda Arismawati Mena Sari Miku Fujita Mina Pertiwi Moh. Imron Rosidi Muhammad Nazaruddin Muntasir, Muntasir Muslimin Muslimin N. Ai Erlinawati, N. Ai Erlinawati Najamuddin Petta Solong Natalia Lisma Br Sembiring Nazaruddin Ahmad Noor Diah Erlinawati Norma Winata Novelti Novycha Auliafendri Novycha Auliafendri Novycha Auliafendri Nuralfin Anripa Nurul Oktafian Farhan Puspita, Kori Ramdani, Hasbi Taobah Ramson Rikson Maruwahal Sijabat Ramson Rikson Maruwahal Sijabat Reni Oktaviani Tarru Rian Novita Ridayani, Ridayani Rina Setyawati Riniati, Wa Ode Rukhmana, Trisna S. Sumihatul Ummah MS, S. Sumihatul Ummah Salma Nurin Fadilah Santi Yuliasari Saputra Adiwijaya Saputra, Abiyasa Eka Siti Aisyah Hanim, Siti Aisyah Sitti Rahmah Solehuddin, Moh. St. Fatmah Hiola STIKES Karsa Husada Garut Subroto, Desty Endrawati Sugiah, Sugiah Sulaeman Sulaeman Sulaeman Sulaeman Sulaminingsih, Sulaminingsih Sumerli A, Chevi Herli Supriatnini, Ai Susatyo Adhi Pramono, Susatyo Adhi Sutrisno Sutrisno Sutrisno Sutrisno Syamsu Rijal Syamsul Anwar Syamsul Anwar Syamsul Anwar, Syamsul Tarru, Harni Eirene Tyas Putri Utami Wiwid Suryono Yessikah Feiby Bansaleng Yogi Rahman Nugraha Zahara Farhan Zakka, Umar Zani, Benny Novico